US8138766B2 - Flashover analysis tool - Google Patents

Flashover analysis tool Download PDF

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Publication number
US8138766B2
US8138766B2 US12/445,185 US44518507A US8138766B2 US 8138766 B2 US8138766 B2 US 8138766B2 US 44518507 A US44518507 A US 44518507A US 8138766 B2 US8138766 B2 US 8138766B2
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Prior art keywords
fault
flashover
threshold value
time
tree
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US20100073010A1 (en
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Sazali Abdul Karim
Abdullah Asuhaimi Mohd Zin
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Universiti Teknologi Malaysia (UTM)
TNB Research Sdn Bhd
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Universiti Teknologi Malaysia (UTM)
TNB Research Sdn Bhd
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/28—Testing of electronic circuits, e.g. by signal tracer
    • G01R31/282—Testing of electronic circuits specially adapted for particular applications not provided for elsewhere
    • G01R31/2827—Testing of electronic protection circuits
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02H—EMERGENCY PROTECTIVE CIRCUIT ARRANGEMENTS
    • H02H1/00—Details of emergency protective circuit arrangements
    • H02H1/0007—Details of emergency protective circuit arrangements concerning the detecting means
    • H02H1/0015—Using arc detectors

Definitions

  • the present invention relates to the field of electrical power system. More particularly, the present invention relates to transmission overhead line for electrical power utilities. Most particularly, the present invention relates to a method for analyzing the protection behavior during an overhead line system fault and fault triggering that causes the flashover on an overhead line transmission system which works on the data retrieved from a digital fault recorder.
  • a typical digital fault recorder stores raw data of three phase electrical signals and the condition of the overhead line transmission system. Each power outages provide a certain flashover signature depending on the cause of the outage. However, the digital fault recorder does not inform the faults which cause the outage. Currently there is no tool which analyses the flashover and identify the cause of the flashover.
  • the invention is conceived by analyzing flashover behavior stored on digital fault recorder.
  • the electrical signals stored on the digital fault recorder have a distinct signature for every cause of flashover.
  • the electrical signals can be further analyzed to identify fault failures and recommend necessary steps to overcome the electrical outage.
  • an integrated protection analysis system consisting of a module to analyze protection behavior during an overhead line fault and a module to analyze the fault triggering that causes a flashover on an overhead line transmission.
  • a method to utilize the recorders information from transmission lines to map all the power system information during a flashover is provided.
  • an artificial neural network used to validate response times against predefined values set by power supplier.
  • an expert system to identify the cause of flashovers.
  • a graphical user interface tool utilizing the internet browser facility to access the system for remote monitoring.
  • FIG. 1 illustrates an Artificial Neural Network's architecture which is used to calculate the response time and fault clearing time against the predefined values
  • FIG. 2 illustrates an example of a line tripping signal
  • FIG. 3 illustrates an example of a tree encroachment signature
  • FIG. 4 illustrates an r. m. s. per unit value of neutral current of FIG. 3 compared with a flashover function
  • FIG. 5 illustrates an example of a lightning signature
  • FIG. 6 illustrates an r. m. s. per unit value of neutral current of FIG. 5 compared with the flashover function
  • FIG. 7 illustrates a pattern recognition using cluster analysis
  • FIG. 8 illustrates the decision making process using decision tree
  • FIG. 9 illustrates an example of a crane signature
  • FIG. 10 illustrates an example of a polluted insulator signature
  • FIG. 11 illustrates an example of a current transformer signature
  • FIG. 12 illustrates the entire invention in the form of a flow chart.
  • the invention involves a protection system analysis ( 52 ) to identify the operational behavior of the protection systems components of an overhead line transmission system.
  • a digital fault recorder's information ( 49 ) is utilized to record power system information during a flashover.
  • a typical digital fault recorder has at least seven analogue inputs and sixteen digital inputs ( 8 ). The data is captured in a matrix form as shown in the analogue and digital matrices below:
  • Ur N Red phase voltage at “N” data sampling (1)
  • Uy N Yellow phase voltage at “N” data sampling (2)
  • Ub N Blue phase voltage at “N” data sampling (3)
  • Ir N Red phase current at “N” data sampling (4)
  • Iy N Yellow phase current at “N” data sampling (5)
  • Ib N Blue phase current at “N” data sampling (6)
  • the two matrices consist of a set of analogue and digital signals reaction during a power system.
  • the values will be used to calculate the response time of the protection system and the total fault clearing time. All these response time values will be validated against a pre-defined value according to the protection philosophy adopted by a user using an Artificial Neural Network (ANN).
  • the ANN has 23 inputs from the digital fault recorder (7 analogues and 16 digital signals), and 7 outputs with 2 hidden layers to calculate the accumulated weights as shown in FIG. 1 .
  • a typical data which shows line tripping is shown in FIG. 2 .
  • a performance system analysis is reported ( 54 ) showing time calculation from the fault inception until the whole process of fault isolation is complete.
  • the timing calculation philosophy is shown below:
  • a tripping pattern is collected and analyzed for pattern recognition.
  • tripping cause can be identified into five faults i.e. lightning ( 47 ), tree encroachment ( 41 ), crane ( 44 ), polluted insulator ( 46 ) and current transformer explosion ( 39 ). The signature for each fault will be identified and explained.
  • a tree encroachment ( 41 ) is a situation where the clearance between the power line conductor and the tree shoot is less than the minimum stipulated distance.
  • a tree encroachment signature is shown in FIG. 3 .
  • the neutral current ( 7 ) and voltage profile ( 1 , 2 , 3 ) of FIG. 3 is used to for analysis. Both the neutral current ( 7 ) and voltage ( 1 , 2 , 3 ) profile is translated into root mean square (r. m. s.) per unit value ( 1 a , 7 a ) and presented in FIG. 4 .
  • t t 0 ⁇ t n where
  • Lightning strike ( 47 ) is a phenomenon of electrical discharge in the clouds or between the clouds and ground.
  • a flashover caused by lightning ( 47 ) is captured on a digital fault recorder and shown in FIG. 5 .
  • the lightning strike signature can be analyzed as the same approach of tree encroachment ( 41 ).
  • the neutral current ( 7 ) and voltage profile ( 1 , 2 , 3 ) is translated into r. m. s. per unit value as shown in FIG. 6 .
  • Another observation from the voltage profile ( 1 a ) is a voltage dip of 0.244 per unit.
  • a tripping pattern due to lightning ( 47 ) and tree encroachment ( 41 ) is observed.
  • the data is shown in FIG. 7 .
  • lightning strike ( 47 ) occurs when ⁇ is in a lightning strike region ( 32 ) between two ⁇ value and voltage dip above a certain value.
  • lightning strike occurs between ⁇ of 0.10 and 0.20 with a voltage dip of more than 0.100 per unit.
  • Tree encroachment ( 41 ) occurs in a tree encroachment region ( 31 ) between two ⁇ value and a voltage dip in a certain range.
  • tree encroachment occurs when ⁇ is between 0.05 and 0.20 with a voltage dip of less than 0.100 per unit and when ⁇ is between 0.01 and 0.05 with a voltage dip ranging between 0.010 and 0.350 per unit.
  • FIG. 9 shows a fault signature caused by crane ( 44 ).
  • a crane signature shows a persistent fault ( 33 ) during the single pole auto reclosing.
  • Polluted insulator ( 46 ) another flashover fault, has a distinct flashover signature.
  • the polluted insulator signature has a distinct time interval ⁇ t f ( 34 ) between the last neutral current distortion ( 35 ) and flashover ( 36 ) as shown in FIG. 10 .
  • the current transformer explosion signature has an evolving fault ( 37 ) which occurs on another healthy phase after the clearance of the first detected fault during the dead time of the first fault, as shown in FIG. 11 .
  • a logic system is created to identify the flashover fault in the event of a flashover.
  • the logic is presented in FIG. 8 .
  • the first decision process ( 38 ) is to decide if the fault is an evolving fault ( 37 ). If there's an evolving fault ( 37 ) than it is a current transformer explosion ( 39 ). If there is no evolving fault than it will be subjected to a second decision process ( 40 ) to check if ⁇ is more than a threshold value, in this case 0.100. If ⁇ is not more than 0.100, than the fault is a tree encroachment ( 41 ). If ⁇ is more than threshold of 0.100, than it will be subjected to a third decision process ( 42 ) to check if voltage dip is less than threshold of 0.100 per unit.
  • fault signature analysis ( 50 ) is independent of the protection system analysis ( 52 ). Both of the routine is shown on a flow chart in FIG. 12 .
  • the system starts ( 48 ) to capture data when a flashover occurs. Tripping data ( 49 ) from the fault recorder is subjected to a fault signature analysis ( 50 ) to identify the cause of fault.
  • a subroutine fault signature analysis ( 51 ) identifies the cause of a fault if it is a tree encroachment, lightning strike, current transformer explosion, polluted insulator or crane.
  • the data is also subjected to a protection system analysis ( 52 , 53 ) to validate protection system timing.
  • a report ( 54 ) is generated and stored on a common database ( 55 ). Then, the routine will stop ( 56 ).
  • a graphical user interface tool utilizing the internet browser facility to access the system for remote monitoring is used to monitor every transmission line.

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Emergency Protection Circuit Devices (AREA)
  • Remote Monitoring And Control Of Power-Distribution Networks (AREA)
  • Testing Of Short-Circuits, Discontinuities, Leakage, Or Incorrect Line Connections (AREA)
  • Locating Faults (AREA)
US12/445,185 2006-10-13 2007-10-11 Flashover analysis tool Expired - Fee Related US8138766B2 (en)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
MYPI20064322 MY150874A (en) 2006-10-13 2006-10-13 Flashover analysis tool
MYPI20064322 2006-10-13
PCT/MY2007/000068 WO2008063043A1 (en) 2006-10-13 2007-10-11 Flashover analysis tool

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US20100073010A1 US20100073010A1 (en) 2010-03-25
US8138766B2 true US8138766B2 (en) 2012-03-20

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US (1) US8138766B2 (de)
EP (1) EP2084548A4 (de)
CN (1) CN101553738B (de)
MY (1) MY150874A (de)
WO (1) WO2008063043A1 (de)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20110031977A1 (en) * 2008-04-16 2011-02-10 O'sullivan Charles Brendan System and method for locating line faults in a medium voltage network
US9424485B2 (en) 2014-03-28 2016-08-23 International Business Machines Corporation Grid data processing method and apparatus

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* Cited by examiner, † Cited by third party
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CN101819255B (zh) * 2010-04-16 2014-11-19 上海申瑞继保电气有限公司 基于非线性计算断路器的有效开断次数的方法
US9217775B2 (en) 2010-06-07 2015-12-22 Abb Research Ltd. Systems and methods for characterizing fault clearing devices
US8542021B2 (en) * 2010-11-16 2013-09-24 Schneider Electric USA, Inc. Multi-pole arcing fault circuit breaker including a neutral current sensor
JP6657984B2 (ja) * 2016-01-19 2020-03-04 東京電力ホールディングス株式会社 電力系統事故原因推定装置
CN105676121B (zh) * 2016-03-11 2017-08-08 中国南方电网有限责任公司超高压输电公司检修试验中心 一种220kV及以上瓷柱式断路器闪络故障评估方法
CN106199152B (zh) * 2016-08-17 2023-05-05 云南电网有限责任公司电力科学研究院 一种电压暂降辨识系统及方法
CN107979086B (zh) * 2017-11-14 2019-12-27 国网江苏省电力公司电力科学研究院 基于em算法和梯度提升树的电压暂降原因识别方法
CN108896882B (zh) * 2018-06-28 2019-11-12 四川大学 冲击和工频叠加电压下架空线路覆冰闪络影响因素评估方法
CN111272953B (zh) * 2020-02-28 2024-06-28 国网黑龙江省电力有限公司哈尔滨供电公司 输变电线路绝缘子盐密及灰密度在线监测系统
CN112419680B (zh) * 2020-11-19 2022-09-27 中国南方电网有限责任公司超高压输电公司检修试验中心 一种输电线路安全隐患分类识别方法及系统
CN113156275B (zh) * 2021-01-29 2022-01-04 西南交通大学 一种考虑差异性接线方式的变压器绝缘诊断方法
CN117706280B (zh) * 2024-02-05 2024-06-04 南昌科晨电力试验研究有限公司 一种基于多源数据的配电线路雷击故障定位方法及系统

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US5136248A (en) * 1990-01-29 1992-08-04 Niagara Mohawk Power Corporation Method and detector for identifying insulator flashover
US5352983A (en) * 1991-12-20 1994-10-04 Asea Brown Boveri Ab Method and apparatus for detecting flashover between conductors in power transmission lines of different voltage levels suspended in parallel from the same towers
US5805400A (en) * 1996-05-18 1998-09-08 Korea Electric Power Corp. Auto-reclosing dead time control apparatus and method thereof for transmission cable protection relay system
US6247003B1 (en) * 1998-08-13 2001-06-12 Mcgraw-Edison Company Current transformer saturation correction using artificial neural networks
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US6667866B1 (en) * 2000-12-28 2003-12-23 Abb Technology Ag Virtual ground following single-phase trip

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KR0180628B1 (ko) * 1996-05-14 1999-05-15 이종훈 신경회로망을 이용한 변성기의 오차 복원장치 및 방법

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US5136248A (en) * 1990-01-29 1992-08-04 Niagara Mohawk Power Corporation Method and detector for identifying insulator flashover
US5352983A (en) * 1991-12-20 1994-10-04 Asea Brown Boveri Ab Method and apparatus for detecting flashover between conductors in power transmission lines of different voltage levels suspended in parallel from the same towers
US5805400A (en) * 1996-05-18 1998-09-08 Korea Electric Power Corp. Auto-reclosing dead time control apparatus and method thereof for transmission cable protection relay system
US6247003B1 (en) * 1998-08-13 2001-06-12 Mcgraw-Edison Company Current transformer saturation correction using artificial neural networks
US6667866B1 (en) * 2000-12-28 2003-12-23 Abb Technology Ag Virtual ground following single-phase trip
KR20020076413A (ko) * 2001-03-28 2002-10-11 학교법인 성균관대학 뉴로퍼지 네트워크를 이용한 전력계통의 고장검출 및 그판별방법

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20110031977A1 (en) * 2008-04-16 2011-02-10 O'sullivan Charles Brendan System and method for locating line faults in a medium voltage network
US9424485B2 (en) 2014-03-28 2016-08-23 International Business Machines Corporation Grid data processing method and apparatus
US9477903B2 (en) 2014-03-28 2016-10-25 International Business Machines Corporation Grid data processing method and apparatus

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Publication number Publication date
WO2008063043A1 (en) 2008-05-29
CN101553738A (zh) 2009-10-07
EP2084548A1 (de) 2009-08-05
CN101553738B (zh) 2012-10-10
EP2084548A4 (de) 2014-01-22
MY150874A (en) 2014-03-14
US20100073010A1 (en) 2010-03-25

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